code: def test_unsupported_instance_group(
      pytorch_training_compiler_version,
  ):
      if Version(pytorch_training_compiler_version) < Version("1.12"):
          pytest.skip(
              "This test is intended for PyTorch 1.12 and above"
          )
      with pytest.raises(ValueError):
          PyTorch(
              py_version="py38",
              entry_point=SCRIPT_PATH,
              role=ROLE,
              instance_groups=[
                  InstanceGroup(
                      "ml.p3dn.24xlarge", "ml.p3dn.24xlarge", 16
                  ),
                  InstanceGroup(
                      "ml.p4d.24xlarge", "ml.p4d.24xlarge", 16
                  ),
              ],
              framework_version=pytorch_training_compiler_version,
              enable_sagemaker_metrics=False,
              compiler_config=TrainingCompilerConfig(),
          ).fit()
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  import pytest
  from mock import MagicMock, Mock, patch, ANY
  from packaging.version import Version
  from sagemaker import image_uris
  from sagemaker.pytorch import PyTorch, TrainingCompilerConfig
  from sagemaker.pytorch.model import PyTorchModel
  from sagemaker.instance_group import InstanceGroup
  from sagemaker.session_settings import SessionSettings
  from tests.unit.sagemaker.training_compiler import EC2_GPU_INSTANCE_CLASSES
label_desc: Use image node_id 10 for calling a global function with example usage: test_unsupported_instance_group(pytorch_training_compiler_version) without return types